# -*- coding: utf-8 -*-
"""
Various small and named graphs, together with some compact generators.

"""
__author__ = """Aric Hagberg (hagberg@lanl.gov)\nPieter Swart (swart@lanl.gov)"""
#    Copyright (C) 2004-2018 by
#    Aric Hagberg <hagberg@lanl.gov>
#    Dan Schult <dschult@colgate.edu>
#    Pieter Swart <swart@lanl.gov>
#    All rights reserved.
#    BSD license.

__all__ = ['make_small_graph',
           'LCF_graph',
           'bull_graph',
           'chvatal_graph',
           'cubical_graph',
           'desargues_graph',
           'diamond_graph',
           'dodecahedral_graph',
           'frucht_graph',
           'heawood_graph',
           'hoffman_singleton_graph',
           'house_graph',
           'house_x_graph',
           'icosahedral_graph',
           'krackhardt_kite_graph',
           'moebius_kantor_graph',
           'octahedral_graph',
           'pappus_graph',
           'petersen_graph',
           'sedgewick_maze_graph',
           'tetrahedral_graph',
           'truncated_cube_graph',
           'truncated_tetrahedron_graph',
           'tutte_graph']

import networkx as nx
from networkx.generators.classic import empty_graph, cycle_graph, path_graph, complete_graph
from networkx.exception import NetworkXError

#------------------------------------------------------------------------------
#   Tools for creating small graphs
#------------------------------------------------------------------------------


def make_small_undirected_graph(graph_description, create_using=None):
    """
    Return a small undirected graph described by graph_description.

    See make_small_graph.
    """
    if create_using is not None and create_using.is_directed():
        raise NetworkXError("Directed Graph not supported")
    return make_small_graph(graph_description, create_using)


def make_small_graph(graph_description, create_using=None):
    """
    Return the small graph described by graph_description.

    graph_description is a list of the form [ltype,name,n,xlist]

    Here ltype is one of "adjacencylist" or "edgelist",
    name is the name of the graph and n the number of nodes.
    This constructs a graph of n nodes with integer labels 0,..,n-1.

    If ltype="adjacencylist"  then xlist is an adjacency list
    with exactly n entries, in with the j'th entry (which can be empty)
    specifies the nodes connected to vertex j.
    e.g. the "square" graph C_4 can be obtained by

    >>> G=nx.make_small_graph(["adjacencylist","C_4",4,[[2,4],[1,3],[2,4],[1,3]]])

    or, since we do not need to add edges twice,

    >>> G=nx.make_small_graph(["adjacencylist","C_4",4,[[2,4],[3],[4],[]]])

    If ltype="edgelist" then xlist is an edge list
    written as [[v1,w2],[v2,w2],...,[vk,wk]],
    where vj and wj integers in the range 1,..,n
    e.g. the "square" graph C_4 can be obtained by

    >>> G=nx.make_small_graph(["edgelist","C_4",4,[[1,2],[3,4],[2,3],[4,1]]])

    Use the create_using argument to choose the graph class/type.
    """
    ltype = graph_description[0]
    name = graph_description[1]
    n = graph_description[2]

    G = empty_graph(n, create_using)
    nodes = G.nodes()

    if ltype == "adjacencylist":
        adjlist = graph_description[3]
        if len(adjlist) != n:
            raise NetworkXError("invalid graph_description")
        G.add_edges_from([(u - 1, v) for v in nodes for u in adjlist[v]])
    elif ltype == "edgelist":
        edgelist = graph_description[3]
        for e in edgelist:
            v1 = e[0] - 1
            v2 = e[1] - 1
            if v1 < 0 or v1 > n - 1 or v2 < 0 or v2 > n - 1:
                raise NetworkXError("invalid graph_description")
            else:
                G.add_edge(v1, v2)
    G.name = name
    return G


def LCF_graph(n, shift_list, repeats, create_using=None):
    """
    Return the cubic graph specified in LCF notation.

    LCF notation (LCF=Lederberg-Coxeter-Fruchte) is a compressed
    notation used in the generation of various cubic Hamiltonian
    graphs of high symmetry. See, for example, dodecahedral_graph,
    desargues_graph, heawood_graph and pappus_graph below.

    n (number of nodes)
      The starting graph is the n-cycle with nodes 0,...,n-1.
      (The null graph is returned if n < 0.)

    shift_list = [s1,s2,..,sk], a list of integer shifts mod n,

    repeats
      integer specifying the number of times that shifts in shift_list
      are successively applied to each v_current in the n-cycle
      to generate an edge between v_current and v_current+shift mod n.

    For v1 cycling through the n-cycle a total of k*repeats
    with shift cycling through shiftlist repeats times connect
    v1 with v1+shift mod n

    The utility graph $K_{3,3}$

    >>> G = nx.LCF_graph(6, [3, -3], 3)

    The Heawood graph

    >>> G = nx.LCF_graph(14, [5, -5], 7)

    See http://mathworld.wolfram.com/LCFNotation.html for a description
    and references.

    """
    if create_using is not None and create_using.is_directed():
        raise NetworkXError("Directed Graph not supported")

    if n <= 0:
        return empty_graph(0, create_using)

    # start with the n-cycle
    G = cycle_graph(n, create_using)
    G.name = "LCF_graph"
    nodes = sorted(list(G))

    n_extra_edges = repeats * len(shift_list)
    # edges are added n_extra_edges times
    # (not all of these need be new)
    if n_extra_edges < 1:
        return G

    for i in range(n_extra_edges):
        shift = shift_list[i % len(shift_list)]  # cycle through shift_list
        v1 = nodes[i % n]                    # cycle repeatedly through nodes
        v2 = nodes[(i + shift) % n]
        G.add_edge(v1, v2)
    return G


#-------------------------------------------------------------------------------
#   Various small and named graphs
#-------------------------------------------------------------------------------

def bull_graph(create_using=None):
    """Return the Bull graph. """
    description = [
        "adjacencylist",
        "Bull Graph",
        5,
        [[2, 3], [1, 3, 4], [1, 2, 5], [2], [3]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def chvatal_graph(create_using=None):
    """Return the Chvátal graph."""
    description = [
        "adjacencylist",
        "Chvatal Graph",
        12,
        [[2, 5, 7, 10], [3, 6, 8], [4, 7, 9], [5, 8, 10],
         [6, 9], [11, 12], [11, 12], [9, 12],
         [11], [11, 12], [], []]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def cubical_graph(create_using=None):
    """Return the 3-regular Platonic Cubical graph."""
    description = [
        "adjacencylist",
        "Platonic Cubical Graph",
        8,
        [[2, 4, 5], [1, 3, 8], [2, 4, 7], [1, 3, 6],
         [1, 6, 8], [4, 5, 7], [3, 6, 8], [2, 5, 7]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def desargues_graph(create_using=None):
    """ Return the Desargues graph."""
    G = LCF_graph(20, [5, -5, 9, -9], 5, create_using)
    G.name = "Desargues Graph"
    return G


def diamond_graph(create_using=None):
    """Return the Diamond graph. """
    description = [
        "adjacencylist",
        "Diamond Graph",
        4,
        [[2, 3], [1, 3, 4], [1, 2, 4], [2, 3]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def dodecahedral_graph(create_using=None):
    """ Return the Platonic Dodecahedral graph. """
    G = LCF_graph(20, [10, 7, 4, -4, -7, 10, -4, 7, -7, 4], 2, create_using)
    G.name = "Dodecahedral Graph"
    return G


def frucht_graph(create_using=None):
    """Return the Frucht Graph.

    The Frucht Graph is the smallest cubical graph whose
    automorphism group consists only of the identity element.

    """
    G = cycle_graph(7, create_using)
    G.add_edges_from([[0, 7], [1, 7], [2, 8], [3, 9], [4, 9], [5, 10], [6, 10],
                      [7, 11], [8, 11], [8, 9], [10, 11]])

    G.name = "Frucht Graph"
    return G


def heawood_graph(create_using=None):
    """ Return the Heawood graph, a (3,6) cage. """
    G = LCF_graph(14, [5, -5], 7, create_using)
    G.name = "Heawood Graph"
    return G


def hoffman_singleton_graph():
    '''Return the Hoffman-Singleton Graph.'''
    G = nx.Graph()
    for i in range(5):
        for j in range(5):
            G.add_edge(('pentagon', i, j), ('pentagon', i, (j - 1) % 5))
            G.add_edge(('pentagon', i, j), ('pentagon', i, (j + 1) % 5))
            G.add_edge(('pentagram', i, j), ('pentagram', i, (j - 2) % 5))
            G.add_edge(('pentagram', i, j), ('pentagram', i, (j + 2) % 5))
            for k in range(5):
                G.add_edge(('pentagon', i, j),
                           ('pentagram', k, (i * k + j) % 5))
    G = nx.convert_node_labels_to_integers(G)
    G.name = 'Hoffman-Singleton Graph'
    return G


def house_graph(create_using=None):
    """Return the House graph (square with triangle on top)."""
    description = [
        "adjacencylist",
        "House Graph",
        5,
        [[2, 3], [1, 4], [1, 4, 5], [2, 3, 5], [3, 4]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def house_x_graph(create_using=None):
    """Return the House graph with a cross inside the house square."""
    description = [
        "adjacencylist",
        "House-with-X-inside Graph",
        5,
        [[2, 3, 4], [1, 3, 4], [1, 2, 4, 5], [1, 2, 3, 5], [3, 4]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def icosahedral_graph(create_using=None):
    """Return the Platonic Icosahedral graph."""
    description = [
        "adjacencylist",
        "Platonic Icosahedral Graph",
        12,
        [[2, 6, 8, 9, 12], [3, 6, 7, 9], [4, 7, 9, 10], [5, 7, 10, 11],
         [6, 7, 11, 12], [7, 12], [], [9, 10, 11, 12],
         [10], [11], [12], []]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def krackhardt_kite_graph(create_using=None):
    """
    Return the Krackhardt Kite Social Network.

    A 10 actor social network introduced by David Krackhardt
    to illustrate: degree, betweenness, centrality, closeness, etc.
    The traditional labeling is:
    Andre=1, Beverley=2, Carol=3, Diane=4,
    Ed=5, Fernando=6, Garth=7, Heather=8, Ike=9, Jane=10.

    """
    description = [
        "adjacencylist",
        "Krackhardt Kite Social Network",
        10,
        [[2, 3, 4, 6], [1, 4, 5, 7], [1, 4, 6], [1, 2, 3, 5, 6, 7], [2, 4, 7],
         [1, 3, 4, 7, 8], [2, 4, 5, 6, 8], [6, 7, 9], [8, 10], [9]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def moebius_kantor_graph(create_using=None):
    """Return the Moebius-Kantor graph."""
    G = LCF_graph(16, [5, -5], 8, create_using)
    G.name = "Moebius-Kantor Graph"
    return G


def octahedral_graph(create_using=None):
    """Return the Platonic Octahedral graph."""
    description = [
        "adjacencylist",
        "Platonic Octahedral Graph",
        6,
        [[2, 3, 4, 5], [3, 4, 6], [5, 6], [5, 6], [6], []]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def pappus_graph():
    """ Return the Pappus graph."""
    G = LCF_graph(18, [5, 7, -7, 7, -7, -5], 3)
    G.name = "Pappus Graph"
    return G


def petersen_graph(create_using=None):
    """Return the Petersen graph."""
    description = [
        "adjacencylist",
        "Petersen Graph",
        10,
        [[2, 5, 6], [1, 3, 7], [2, 4, 8], [3, 5, 9], [4, 1, 10], [1, 8, 9], [2, 9, 10],
         [3, 6, 10], [4, 6, 7], [5, 7, 8]]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def sedgewick_maze_graph(create_using=None):
    """
    Return a small maze with a cycle.

    This is the maze used in Sedgewick,3rd Edition, Part 5, Graph
    Algorithms, Chapter 18, e.g. Figure 18.2 and following.
    Nodes are numbered 0,..,7
    """
    G = empty_graph(0, create_using)
    G.add_nodes_from(range(8))
    G.add_edges_from([[0, 2], [0, 7], [0, 5]])
    G.add_edges_from([[1, 7], [2, 6]])
    G.add_edges_from([[3, 4], [3, 5]])
    G.add_edges_from([[4, 5], [4, 7], [4, 6]])
    G.name = "Sedgewick Maze"
    return G


def tetrahedral_graph(create_using=None):
    """ Return the 3-regular Platonic Tetrahedral graph."""
    G = complete_graph(4, create_using)
    G.name = "Platonic Tetrahedral graph"
    return G


def truncated_cube_graph(create_using=None):
    """Return the skeleton of the truncated cube."""
    description = [
        "adjacencylist",
        "Truncated Cube Graph",
        24,
        [[2, 3, 5], [12, 15], [4, 5], [7, 9],
         [6], [17, 19], [8, 9], [11, 13],
         [10], [18, 21], [12, 13], [15],
         [14], [22, 23], [16], [20, 24],
         [18, 19], [21], [20], [24],
         [22], [23], [24], []]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G


def truncated_tetrahedron_graph(create_using=None):
    """Return the skeleton of the truncated Platonic tetrahedron."""
    G = path_graph(12, create_using)
#    G.add_edges_from([(1,3),(1,10),(2,7),(4,12),(5,12),(6,8),(9,11)])
    G.add_edges_from([(0, 2), (0, 9), (1, 6), (3, 11), (4, 11), (5, 7), (8, 10)])
    G.name = "Truncated Tetrahedron Graph"
    return G


def tutte_graph(create_using=None):
    """Return the Tutte graph."""
    description = [
        "adjacencylist",
        "Tutte's Graph",
        46,
        [[2, 3, 4], [5, 27], [11, 12], [19, 20], [6, 34],
         [7, 30], [8, 28], [9, 15], [10, 39], [11, 38],
         [40], [13, 40], [14, 36], [15, 16], [35],
         [17, 23], [18, 45], [19, 44], [46], [21, 46],
         [22, 42], [23, 24], [41], [25, 28], [26, 33],
         [27, 32], [34], [29], [30, 33], [31],
         [32, 34], [33], [], [], [36, 39],
         [37], [38, 40], [39], [], [],
         [42, 45], [43], [44, 46], [45], [], []]
    ]
    G = make_small_undirected_graph(description, create_using)
    return G
